{"id":"W2981950366","doi":"10.1145/3308561.3354612","title":"30 Years Later","year":2019,"lang":"en","type":"article","venue":"","topic":"Persona Design and Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Persona; Subject (documents); Computer science; Data science; Population; World Wide Web; Sociology; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002523719,0.0006666403,0.000545173,0.002081824,0.003914474,0.004141964,0.001032478,0.002300907,0.2988428],"category_scores_gemma":[0.008325709,0.0002656177,0.0006564151,0.001697439,0.001198515,0.003281139,0.004313035,0.003701732,0.2020146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003316074,"about_ca_system_score_gemma":0.003948206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009854438,"about_ca_topic_score_gemma":0.02000118,"domain_scores_codex":[0.998041,0.0003679019,0.0001112355,0.0004836429,0.0005178289,0.0004784615],"domain_scores_gemma":[0.9963637,0.0002528214,0.0001765045,0.0003474176,0.001356321,0.001503338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002070487,0.0001596726,0.005638012,0.0002674394,0.00001907068,0.0007199428,0.003064437,0.00009136825,0.0006247293,0.06460306,0.7443121,0.1802932],"study_design_scores_gemma":[0.000004832174,0.00003005333,0.00147259,0.00009548761,0.000002483242,0.0002411032,0.0005374813,0.00001863816,0.00009698355,0.001454459,0.9960382,0.000007631905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02007858,0.0178875,0.004958646,0.08112295,0.04476884,0.0003909757,0.01030711,0.0009807984,0.8195047],"genre_scores_gemma":[0.03324561,0.003410413,0.001034831,0.01596552,0.002043979,0.0001078497,0.002376678,0.0002614252,0.9415538],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2988428,"threshold_uncertainty_score":0.9997286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344169097994963,"score_gpt":0.2289925810383996,"score_spread":0.2155508900584499,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}